Results 51 to 60 of about 1,868,423 (267)

Machine learning-enabled chemical space exploration of all-inorganic perovskites for photovoltaics

npj Computational Materials
The vast compositional and configurational spaces of multi-element metal halide perovskites (MHPs) result in significant challenges when designing MHPs with promising stability and optoelectronic properties.
Jin-Soo Kim, Juhwan Noh, Jino Im
doaj   +1 more source

A Comparison of Spherical Neural Networks for Surround-View Fisheye Image Semantic Segmentation

IEEE Open Journal of Vehicular Technology
The automotive industry has made significant strides in enhancing road safety and enabling automated driving features through advanced computer vision techniques.
Anam Manzoor, Reenu Mohandas, Anthony Scanlan, Eoin Martino Grua, Fiachra Collins, Ganesh Sistu, Ciaran Eising   +6 more
doaj   +1 more source

Data-Driven Algorithm Design [PDF]

, 2020
Chapter 29 of the book Beyond the Worst-Case Analysis of Algorithms, edited by Tim Roughgarden and published by Cambridge University Press (2020)
openaire   +2 more sources

The Role of “Adult‐Onset” Cancer Predisposition Genes in Pediatric Cancer: A Comprehensive Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Current literature estimates that 10% of pediatric cancers are caused by pathogenic or likely pathogenic (P/LP) germline variants in cancer predisposition genes (CPGs). Variants in CPGs thought to increase cancer risk exclusively during adulthood are referred to as “adult‐onset” CPGs (aoCPGs).
Maria Rozo, Miriam A. Bornhorst, Angela J. Waanders, Sara Zarnegar‐Lumley, Ashwin Lakshman Koppayi, Lucy A. Godley   +5 more
wiley   +1 more source

Early Impact of Childhood Opportunity on Neurocognitive Outcomes in Sickle Cell Disease

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neurocognitive impairment is a well‐recognized complication of sickle cell disease (SCD) that begins early in childhood and persists across development. While cerebrovascular injury contributes substantially to risk, neurocognitive deficits are also observed in children without overt or silent cerebral infarctions, suggesting ...
Julia E. LaMotte, Hannah Koch, Olivia A. Coughlin, Jillian R. Bouck, Allie Carter, Seethal A. Jacob   +5 more
wiley   +1 more source

The Role of Dashboards in Augmented-Reality-Based Language Learning: Enhancing Language Learning and Metacognitive Awareness

SAGE Open
The development of information and communication technologies has created limitless prospects for using augmented reality (AR) in various fields. Unfortunately, the multitasking nature of AR systems prevents learners from successfully reflecting and ...
Xuewang Geng, Masanori Yamada
doaj   +1 more source

Measurable Residual Disease Monitoring During Treatment for Pediatric Acute Myeloid Leukemia in First Relapse

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survival after relapse in pediatric acute myeloid leukemia (AML) remains poor, highlighting the critical importance of identifying prognostic factors to guide optimal relapse management. Methods We investigated the prognostic impact of multiparameter flow cytometry (MFC) measurable residual disease (MRD) in 188 patients with first ...
Camilla Poulsen, Kristian Juul Sandahl, Lene Karlsson, Jonas Abrahamsson, Nira Arad‐Cohen, Daniel Cheuk, Barbara De Moerloose, Linda Fogelstrand, Jose Maria Fernandez Navarro, Bianca F. Goemans, Kirsi Jahnukainen, Gertjan Kaspers, Zhanna Kovalova, Monica Cheng Munthe‐Kaas, Ulrika Norén‐Nyström, Josefine Palle, Ramune Pasauliene, Cornelis Jan Pronk, Kadri Saks, Anne Tierens, Henrik Hasle, Kristian Løvvik Juul‐Dam   +21 more
wiley   +1 more source

ClimActor 2.0: A spatialized database of subnational climate pledges and emissions data

Scientific Data
ClimActor 2.0 is an open, spatialized database that compiles climate targets, action plans, and self-reported emission inventories from subnational governments, including cities, municipalities, states and regions, worldwide.
Diego Manya, Katherine Burley Farr, Elizabeth Brown, Andrew Martin, Angel Hsu   +4 more
doaj   +1 more source

Mild cognitive impairment understanding: an empirical study by data-driven approach

BMC Bioinformatics, 2019
Background Cognitive decline has emerged as a significant threat to both public health and personal welfare, and mild cognitive decline/impairment (MCI) can further develop into Dementia/Alzheimer’s disease.
Liyuan Liu, Bingchen Yu, Meng Han, Shanshan Yuan, Na Wang   +4 more
doaj   +1 more source

Data-Driven Persuasion

Journal of Mathematical Economics
This paper develops a data-driven approach to Bayesian persuasion. The receiver is privately informed about the prior distribution of the state of the world, the sender knows the receiver's preferences but does not know the distribution of the state variable, and the sender's payoffs depend on the receiver's action but not on the state.
openaire   +2 more sources